package com.atguigu.day07;

import com.atguigu.bean.WaterSensor;
import org.apache.flink.api.common.eventtime.*;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.datastream.WindowedStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;

import java.time.Duration;

public class Flink04_EventTime_WaterMark_ForGenerator {
    public static void main(String[] args) throws Exception {
        //1.获取流的执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        //TODO 设置WaterMark生成周期
        env.getConfig().setAutoWatermarkInterval(200);

        env.setParallelism(1);

        //2.从端口读取数据
        DataStreamSource<String> streamSource = env.socketTextStream("localhost", 9999);

        //3.将数据转为JavaBean
        SingleOutputStreamOperator<WaterSensor> waterSensorStream = streamSource.map(new MapFunction<String, WaterSensor>() {
            @Override
            public WaterSensor map(String value) throws Exception {
                String[] split = value.split(",");
                return new WaterSensor(split[0], Long.parseLong(split[1]), Integer.parseInt(split[2]));
            }
        });

        //TODO 4.指定事件时间&WaterMark     （在使用事件时间的时候一定要指定WaterMark）
        SingleOutputStreamOperator<WaterSensor> waterSensorSingleOutputStreamOperator = waterSensorStream.assignTimestampsAndWatermarks(
                WatermarkStrategy
                        //TODO 自定义WaterMark  设置延迟时间（等待时间/乱序程度）为3S
                        .forGenerator(new WatermarkGeneratorSupplier<WaterSensor>() {
                            @Override
                            public WatermarkGenerator<WaterSensor> createWatermarkGenerator(Context context) {
                                return new MyWaterMark(Duration.ofSeconds(3));
                            }
                        })
                        //TODO 指定事件时间戳
                        .withTimestampAssigner(
                                new SerializableTimestampAssigner<WaterSensor>() {
                            @Override
                            public long extractTimestamp(WaterSensor element, long recordTimestamp) {
                                //注意！！！ 单位是毫秒
                                return element.getTs() * 1000;
                            }
                        })
        );

        KeyedStream<WaterSensor, Tuple> keyedStream = waterSensorSingleOutputStreamOperator.keyBy("id");


        //TODO 开启一个基于事件时间的滚动窗口 窗口大小为5S
        WindowedStream<WaterSensor, Tuple, TimeWindow> window = keyedStream.window(TumblingEventTimeWindows.of(Time.seconds(5)));


        SingleOutputStreamOperator<String> process = window.process(new ProcessWindowFunction<WaterSensor, String, Tuple, TimeWindow>() {
            @Override
            public void process(Tuple tuple, Context context, Iterable<WaterSensor> elements, Collector<String> out) throws Exception {
                String msg =
                        "窗口: [" + context.window().getStart() / 1000 + "," + context.window().getEnd() / 1000 + ") 一共有 "
                                + elements.spliterator().estimateSize() + "条数据 ";
                out.collect(msg);
            }

        });


        window.sum("vc").print();
        process.print();

        env.execute();
    }

    public static class MyWaterMark implements WatermarkGenerator<WaterSensor>{

        private long maxTimestamp;

        private long outOfOrdernessMillis;

        public MyWaterMark(Duration maxOutOfOrderness){

            outOfOrdernessMillis = maxOutOfOrderness.toMillis();

            this.maxTimestamp = Long.MIN_VALUE + outOfOrdernessMillis + 1;
        }

        //每个事件都会调用这方法
        @Override
        public void onEvent(WaterSensor event, long eventTimestamp, WatermarkOutput output) {
            maxTimestamp = Math.max(maxTimestamp, eventTimestamp);
//            System.out.println("Watermark:"+(maxTimestamp - outOfOrdernessMillis - 1));
//            output.emitWatermark(new Watermark(maxTimestamp - outOfOrdernessMillis - 1));
        }

        //这个方法是周期性调用
        @Override
        public void onPeriodicEmit(WatermarkOutput output) {
//            System.out.println("Watermark:"+(maxTimestamp - outOfOrdernessMillis - 1));
            System.out.println("生成WaterMark");
            output.emitWatermark(new Watermark(maxTimestamp - outOfOrdernessMillis - 1));
        }
    }
}
